BioCreative shared task

Abstract

There is a growing need for semi-automated GO curation techniques that will help database curators rapidly and accurately identify gene function information in full-length articles. This project is mainly for a classification task along this line, which will classify whether or not an article is relevant for GO curation.

Intellectual Merit

We hope, through participating this BioCreative task, to advance text-mining research in automatic GO prediction (ultimate goal) but also result in the development of methods and tools that can provide practical benefits to the GO curators (immediate benefits).

Broader Impact

If this task is addressed successfully, it will broaden the dialog between GO curators and text mining developers and facilitate the use of high-performing systems in real-life GO curation during and after the challenge.

Use of FutureGrid

computing purpose

Scale Of Use

small scale

Publications


FG-325
Feifan Liu
University of Wisconsin Milwaukee
Active

Timeline

1 year 25 weeks ago